本文關鍵詞：基于飲用水ICR數據庫的有機物去除分析及模型建立研究　出處：《清華大學》2015年碩士論文　論文類型：學位論文

  更多相關文章： NOM 常規(guī)工藝 BAC工藝 TOC去除率 ICR數據庫

【摘要】：新的飲用水衛(wèi)生標準中增加的有機物指標給我國的飲用水處理工藝帶了極大挑戰(zhàn)。地表水中常含有過量的天然有機物,其不僅會導致水體生物穩(wěn)定性變差,還會同消毒劑反應生成有害的消毒副產物。因而研究飲用水中有機物的去除對保障飲用水的水質安全具有重要的實用價值和理論意義。本文利用美國ICR數據庫,對常規(guī)工藝和生物活性炭(BAC)深度處理工藝的水廠不同工藝條件和原水水質參數下有機物的去除情況進行統(tǒng)計分析、模型建立、模型分析,期望對實際水廠工藝運行給出指導性建議。通過對ICR數據庫中有機物的去除分析:以中位數計,原水TOC2mg/L的TOC去除率為32.9%,常規(guī)工藝的TOC去除率為31.8%,BAC工藝的TOC去除率為39.6%。常規(guī)工藝對高TOC、低堿度的原水的有機物去除效果更佳。常規(guī)工藝會選擇性去除水中的憎水性有機物。Al混凝劑對有機物去除更容易受堿度影響,對于高堿度的原水建議采用Fe混凝劑。O3-BAC和一般BAC工藝的TOC去除率中位數分別42.6%和38.8%,O3-BAC相比于BAC工藝在原水TOC濃度較大時有機物去除優(yōu)勢更高。處理低TOC、高堿度的原水時,BAC工藝對TOC的去除效果優(yōu)于常規(guī)工藝。通過多元回歸分析和遺傳算法優(yōu)化的BP網絡對常規(guī)Fe工藝、常規(guī)Al工藝、BAC工藝三種工藝下的TOC去除率進行預測建模,模型的性能分析表明兩種模型都能進行較好地預測,其中遺傳優(yōu)化的BP模型更優(yōu)。在模型建立的基礎上,首先通過BP網絡得到預測TOC去除率的最優(yōu)輸入參數組合:對常規(guī)工藝為TOC、堿度和混凝劑投加量,對BAC工藝為TOC、堿度、溫度和混凝劑投加量。其次通過逆向運用最優(yōu)參數組合和USEPA有機物去除標準,計算出常規(guī)工藝下不同TOC和堿度下的采用Fe、Al兩種混凝劑的最優(yōu)單位TOC混凝劑投加量。對比常規(guī)工藝下Fe、Al混凝劑,溫度和堿度對Al混凝劑影響大于Fe混凝劑。對比常規(guī)工藝和BAC工藝,溫度對BAC工藝的影響更顯著,而堿度和UV254對常規(guī)工藝的影響更顯著。最后運用多元回歸模型定量對比了采用Al混凝劑的不同TOC和堿度下的常規(guī)工藝和BAC工藝下的TOC去除率。當原水為低堿度、高TOC或原水SUVA較高的水質,用常規(guī)工藝去除水中的有機物較適宜;當原水為高堿度低TOC或SUVA較低的水質,采用BAC工藝可以更好地去除水中的有機物。
[Abstract]:The index of organic matter increased new drinking water health standards to our drinking water treatment process with a great challenge. The surface water often contain natural organic matter in excess, it will not only lead to water biological stability becomes worse, the by-product material will react with disinfectant disinfection harmful. It has important practical value and theoretical the significance of the removal of organic compounds in drinking water to protect drinking water quality and safety. In this paper, using the ICR database, the conventional process and biological activated carbon (BAC) for statistical analysis, removal of organic water depth treatment process in different conditions and the raw water quality parameters of the model, model analysis, expectations the actual waterworks operation gives guidance. Through the analysis of the removal of organic matter in the ICR database: the median TOC2mg/L of raw water, the removal rate of TOC is 32.9%, the conventional process The removal rate of TOC is 31.8%, BAC process, the removal rate of TOC is 39.6%. the conventional process of high TOC, low alkalinity of raw water organic matter removal effect is better. The conventional process will be selective removal of hydrophobic organic coagulant.Al removal is more susceptible to alkalinity effect on organic matter, for raw water with high alkalinity with suggestions Fe coagulant.O3-BAC and general BAC process TOC removal rate of 42.6% and 38.8% respectively. The median, O3-BAC compared to the BAC process in the TOC of raw water at high concentrations of organic matter removal advantage more. Treatment of low TOC, high alkalinity of raw water, BAC process on the removal of TOC is better than the conventional process. Through multiple regression analysis and genetic optimization of BP network on the conventional Fe process, conventional Al process, BAC process of three kinds of process, the removal rate of TOC for predictive modeling, analysis showed that the two models can better predict the performance of the model, including genetic optimization The BP model is better. Based on this model, firstly, through the BP network to get the prediction of optimal input parameter combinations of TOC removal rate of the conventional process is TOC, alkalinity and coagulant dosage, the basicity of BAC process is TOC, temperature and dosage of coagulants. Then by using optimal reverse parameter combination and USEPA organic matter removal standard, calculated by using different Fe TOC and alkalinity under conventional conditions, Al two kinds of coagulant TOC optimal coagulant dosage. Compared with the conventional process under Fe Al, coagulant, temperature and alkalinity of Al coagulant effect than Fe coagulant. Compared with conventional process and the influence of temperature on the BAC process, BAC process is more significant, and the effect of basicity and UV254 on conventional process is more significant. Finally using quantitative multivariate regression models were compared with the conventional process and BAC process in different TOC and alkalinity using Al coagulant under the TOC removal rate. When raw water is low alkalinity and high TOC or raw water SUVA has higher water quality, it is more suitable to remove organic matter in water by conventional process. When raw water is high alkalinity, low TOC or SUVA low water quality, BAC technology can better remove organic matter in water.

【學位授予單位】：清華大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TU991.2

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